scholarly journals Real-time capable virtual NOx sensor for diesel engines based on a two-Zone thermodynamic model

2018 ◽  
Vol 73 ◽  
pp. 11
Author(s):  
Rok Vihar ◽  
Urban Žvar Baškovič ◽  
Tomaž Katrašnik
Keyword(s):  
Real Time ◽  
Diesel Engines ◽  
Thermodynamic Model ◽  
Direct Injection ◽  
Control Unit ◽  
Combustion Model ◽  
Data Sets ◽  
Modeling Framework ◽  
Using Data ◽  
High Level

This paper presents a control-oriented thermodynamic model capable of predicting nitrogen oxides (NOx) emissions in diesel engines. It is derived from zero-dimensional combustion model using in-cylinder pressure as the input. The methodology is based on a two-zone thermodynamic model which divides the combustion chamber into a burned and unburned gas zone. The original contribution of proposed method arises from: (1) application of a detailed two-zone modeling framework, developed in a way that the thermodynamic equations could be solved in a closed form without iterative procedure, which provides the basis for achieving high level of predictiveness, on the level of real-time capable models and (2) introduction of relative air-fuel ratio during combustion as a main and physically motivated calibration parameter of the NOx model. The model was calibrated and validated using data sets recorded in two different direct injection diesel engines, i.e. a light and a heavy-duty engine. The model is suitable for real-time applications since it takes less than a cycle to complete the entire closed cycle thermodynamic calculation including NOx prediction, which opens the possibility of integration in the engine control unit for closed-loop or feed-forward control.

Phenomenological two-phase multi-zone combustion model for direct-injection diesel engines

2016 ◽  
Vol 17 (5) ◽  
pp. 895-907 ◽  
Author(s):  
K. Zhang ◽  
M. Xu ◽  
J. Wei ◽  
Y. Cui ◽  
K. Deng
Keyword(s):  
Diesel Engines ◽  
Direct Injection ◽  
Combustion Model ◽  
Two Phase

scholarly journals DETERMINE SIMULATION MODEL OF ELECTRONIC CONTROL SYSTEM FOR DIRECT INJECTION COMPRESSION COMBUSTION ENGINE

2019 ◽  
Vol 20 (3) ◽  
pp. 208-224
Author(s):  
Haydar M. Razoqe ◽  
Mahmoud A. Mashkour
Keyword(s):  
Thermodynamic Model ◽  
Combustion Engine ◽  
Direct Injection ◽  
Engine Performance ◽  
Control Unit ◽  
Loop Control ◽  
Electric Control ◽  
Start Of Injection ◽  
Electronic Control System ◽  
Compression Ignition Combustion

The aim of this research is to determine a simulation of an electric control unit (ECU) for direct injection compression ignition combustion engine, in order to improve an engine performance and reduced fuel consumption. The simulation comprises thermodynamic model for determining engine parameters according to Spray Penetration Mixing Length, and imposes in Matlab and Simulink. This model allows closed loop control interferences with Arduino MEGA-2560 to manage amount of injected fuel and start of injection that, could be lead to obtain the optimum thermodynamic energy. The results of thermodynamic model show that, the engine parameters can be related linearly, and matching the other published researches on the same conditions and specifications. The results of (ECU) show synchronization between desired and output signals and appear more accuracy when compared with other methods.

Real-time high-level video understanding using data warehouse

2006 ◽  
Author(s):  
Bruno Lienard ◽  
Xavier Desurmont ◽  
Bertrand Barrie ◽  
Jean-Francois Delaigle
Keyword(s):  
Real Time ◽  
Data Warehouse ◽  
Video Understanding ◽  
Using Data ◽  
High Level

Semi-Direct Injection Engine Modeling for Real Time Control

2011 ◽  
Vol 347-353 ◽  
pp. 2504-2510 ◽  
Author(s):  
Yuh Yih Wu ◽  
Bo Chiuan Chen ◽  
Anh Trung Tran
Keyword(s):  
Real Time ◽  
Direct Injection ◽  
Intake Manifold ◽  
Combustion Model ◽  
Zone Model ◽  
Real Time Control ◽  
Lean Burn ◽  
Time Control ◽  
Time Operation ◽  
Real Time Operation

The Semi-Direct Injection (SDI) system has been shown to improve small engine efficiency and exhaust by utilizing a lean burn method. In order to better understand how to more readily utilize the control systems in SDI engine, the real-time operation of an SDI engine was modeled. A charging model was developed by using a filling-and-emptying model to simulate air exchange in an engine, including varying the intake manifold structure. A single-zone model was applied to a combustion model and the effects of air/fuel ratio and swirl ratio on combustion duration were also considered. The calculated results of the intake manifold pressure, heat release rate, and cylinder pressure were compared with the experimental data. The results of this study show that this modeling process approximates reality.

A physics-based model for real-time prediction of ignition delays of multi-pulse fuel injections in direct-injection diesel engines

2018 ◽  
Vol 21 (3) ◽  
pp. 540-558 ◽  
Author(s):  
Jensen Samuel J ◽  
Ramesh A
Keyword(s):  
Real Time ◽  
Diesel Engines ◽  
Ignition Delay ◽  
Direct Injection ◽  
Delay Period ◽  
Common Rail ◽  
Engine Control ◽  
Multiple Injections ◽  
Time Prediction ◽  
Ignition Delay Period

Real-time prediction of in-cylinder combustion parameters is very important for robust combustion control in any internal combustion engine. Very little information is available in the literature for modeling the ignition delay period of multiple injections that occur in modern direct-injection diesel engines. Knowledge of the ignition delay period in diesel engines with multiple injections is of primary interest due to its impact on pressure rise during subsequent combustion, combustion noise and pollutant formation. In this work, a physics-based ignition delay prediction methodology has been proposed by suitably simplifying an approach available in the literature. The time taken by the fuel-spray tip to reach the liquid length is considered as the physical delay period of any particular injection pulse. An equation has been developed for predicting the saturation temperature at this location based on the temperature and pressure at the start of injection. Thus, iterative procedures are avoided, which makes the methodology suitable for real-time engine control. The chemical delay was modeled by assuming a global reaction mechanism while using the Arrhenius-type equation. Experiments were conducted on a fully instrumented state-of-the-art common-rail diesel engine test facility for providing inputs to develop the methodology. The thermodynamic condition before the main injection was obtained by modeling the pilot combustion phase using the Wiebe function. Thus, the ignition delays of both pilot and main injections could be predicted based on rail pressure, injection timing, injection duration, manifold pressure and temperature which are normally used as inputs to the engine control unit. When the methodology was applied to predict the ignition delays in three different common-rail diesel engines, the ignition delays of pilot and main combustion phases could be predicted within an error band of ±25, ±50 and ±80 µs, respectively, without further tuning. This method can hence be used in real-time engine controllers and hardware-in-the-loop systems.

scholarly journals Operational climate monitoring from space: the EUMETSAT satellite application facility on climate monitoring (CM-SAF)

2008 ◽  
Vol 8 (3) ◽  
pp. 8517-8563 ◽  
Author(s):  
J. Schulz ◽  
P. Albert ◽  
H.-D. Behr ◽  
D. Caprion ◽  
H. Deneke ◽  
...  
Keyword(s):  
Real Time ◽  
Global Climate ◽  
Atmospheric Temperature ◽  
Quality Level ◽  
Data Sets ◽  
Cloud Parameters ◽  
Climate Monitoring ◽  
Radiation Fluxes ◽  
Using Data ◽  
Radiance Data

Abstract. The Satellite Application Facility on Climate Monitoring (CM-SAF) aims at the provision of satellite-derived geophysical parameter data sets suitable for climate monitoring. CM-SAF provides climatologies for Essential Climate Variables (ECV), as required by the Global Climate Observing System implementation plan in support of the UNFCCC. Several cloud parameters, surface albedo, radiation fluxes at the top of the atmosphere and at the surface as well as atmospheric temperature and humidity products form a sound basis for climate monitoring of the atmosphere. The products are categorized in monitoring data sets obtained in near real time and data sets based on carefully intercalibrated radiances. The CM-SAF products are derived from several instruments on-board operational satellites in geostationary and polar orbit, i.e., the Meteosat and NOAA satellites, respectively. The existing data sets will be continued using data from the instruments on-board the new EUMETSAT Meteorological Operational satellite (MetOP). The products have mostly been validated against several ground-based data sets both in situ and remotely sensed. The accomplished accuracy for products derived in near real time is sufficient to monitor variability on diurnal and seasonal scales. Products based on intercalibrated radiance data can also be used for climate variability analysis up to inter-annual scale. A central goal of the recently started Continuous Development and Operations Phase of the CM-SAF (2007–2012) is to further improve all CM-SAF data sets to a quality level that allows for studies of inter-annual variability.

Quasidimensional Modeling of Direct Injection Diesel Engine Nitric Oxide, Soot, and Unburned Hydrocarbon Emissions

2005 ◽  
Vol 128 (2) ◽  
pp. 388-396 ◽  
Author(s):  
Dohoy Jung ◽  
Dennis N. Assanis
Keyword(s):  
Nitric Oxide ◽  
Diesel Engine ◽  
Diesel Engines ◽  
Soot Formation ◽  
Direct Injection ◽  
Equation Model ◽  
Design Tool ◽  
Pollutant Emissions ◽  
Combustion Model ◽  
Cycle Simulation

In this study we report the development and validation of phenomenological models for predicting direct injection (DI) diesel engine emissions, including nitric oxide (NO), soot, and unburned hydrocarbons (HC), using a full engine cycle simulation. The cycle simulation developed earlier by the authors (D. Jung and D. N. Assanis, 2001, SAE Transactions: Journal of Engines, 2001-01-1246) features a quasidimensional, multizone, spray combustion model to account for transient spray evolution, fuel–air mixing, ignition and combustion. The Zeldovich mechanism is used for predicting NO emissions. Soot formation and oxidation is calculated with a semiempirical, two-rate equation model. Unburned HC emissions models account for three major HC sources in DI diesel engines: (1) leaned-out fuel during the ignition delay, (2) fuel yielded by the sac volume and nozzle hole, and (3) overpenetrated fuel. The emissions models have been validated against experimental data obtained from representative heavy-duty DI diesel engines. It is shown that the models can predict the emissions with reasonable accuracy. Following validation, the usefulness of the cycle simulation as a practical design tool is demonstrated with a case study of the effect of the discharge coefficient of the injector nozzle on pollutant emissions.

Sign in / Sign up

Export Citation Format

Share Document